The Design of an Electro-oculogram(EOG) Based Assistive Computer System for the Rehabilitation of Severely Disabled People
Smart houses are an important alternative for the independent living of disabled people. Electro-Oculogram (EOG) as their most appropriate residual ability can trigger to generate different control signals, which may lead to the control of different assistive devices in a smart house. In human objects, EOG normally ranges from 0.05mV-3.5mV with maximum frequency up to 32 Hz, is proportional to the eye movement. An Assistive Computer System is under designed stage which can capture the generated signals from the sensors in real-time and analyzes thereafter enabling us to interface with peripheral devices to control home appliances. The EOG based computer control system comprises five silicon-rubber electrodes and National Instruments(NI) provided single platform of hardware and software. In the system, embedded controller model PXI 8187RT with suitable signal conditioner, A-to-D converter (DAQ card), buffer circuit card, cables and connectors are used as hardware. A GUI based powerful and dedicated software of NI ‘Lab View’ is used to generate complex algorithmic codes, which enable disabled person to execute command to operate various assistive devices like operate home appliances or displaying message on the monitor by moving the curser. In research stage, an acquired EOG data has been analyzed in terms of PSD (Power spectral density) and changes in the signal amplitudes are used to generate the control signals. At present, a matrix of six control command signals have been found suitable to interface with the said control system, which can then enable to utilize for execution of user’s desired command as displaying the message or operate home appliance. The paper describes the demonstration of acquired data, its analysis and interfacing with the control system. The experiment has been carried out on disabled people at various hospitals in Delhi, who are suffering from neuro-muscular disorder.
Keywords: Smart House, assistive devices, EOG (Electro-Oculogram), Neuromuscular disorder, DAQ and PSD.
Mr Tapan Gandhi
Project Student, Centre for Biomedical Engineering,Block-II(299), Indian Institute of Technology,Delhi,INDIA